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Agentic Ai Jobs in Spring, TX (NOW HIRING)

The ideal candidate will bring expertise in designing, developing, and implementing AI solutions such as chatbots, AI automation, Agentic AI and other cutting-edge use cases. This role requires a ...

Define AI use cases (RAG, automation, agentic workflows) * Translate business needs into clear requirements + user stories * Drive product direction + roadmap for AI solutions * Manage projects ...

Sr Gen AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Contribute to agentic workflows and orchestration patterns Required Skills * Strong Python (APIs ... Agentic AI / orchestration frameworks * React/TypeScript (basic UI work) * CI/CD and DevOps ...

AI Architect

Houston, TX ยท On-site

$60.75 - $78.25/hr

Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations). * Collaborate with cross-functional teams ...

AI Architect

Houston, TX ยท On-site

$60.75 - $78.25/hr

Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations). * Collaborate with cross-functional teams ...

Showing results 41-60

Agentic Ai information

See Spring, TX salary details

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$103

How much do agentic ai jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for agentic ai in Spring, TX is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $40.43 and $88.99 per hour, depending on experience, location, and employer.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

How to start a career in agentic AI?

To start a career in agentic AI, develop strong skills in artificial intelligence, machine learning, and programming languages such as Python. Gaining experience through relevant projects, internships, or certifications in AI and automation tools can improve job prospects in this field.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.

What are popular job titles related to Agentic Ai jobs in Spring, TX?

For Agentic Ai jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Agentic Ai jobs in Spring, TX look for?

The top searched job categories for Agentic Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Agentic Ai jobs?

Cities near Spring, TX with the most Agentic Ai job openings:

Infographic showing various Agentic Ai job openings in Spring, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $121,746 per year, or $58.5 per hour.

AI Architect

SDH Systems

Houston, TX โ€ข On-site

Other

Posted 5 days ago


Job description

Job Description: AI Architect

Work location:  Houston, TX

Workplace: Houston, TX- Onsite

Position Overview:

We are looking for an experienced AI Architect to lead the integration of artificial intelligence capabilities into customer applications, including enterprise systems, products, and cloud infrastructures. The ideal candidate will bring expertise in designing, developing, and implementing AI solutions such as chatbots, AI automation, Agentic AI and other cutting-edge use cases. This role requires a deep understanding of Gen AI tools, frameworks, and technologies, as well as a strong ability to collaborate with cross-functional teams to deliver impactful solutions for our clients.

Key Responsibilities:

  • Lead the design and architecture of AI-driven solutions for customer applications, including chatbots, recommendation engines, and Agentic AI & automation tools.
  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Evaluate and implement AI frameworks, libraries, and platforms to align with business and technical requirements.
  • Develop scalable and secure AI pipelines and workflows that integrate seamlessly with existing enterprise systems and cloud infrastructures.
  • Collaborate with product managers, Client Architects, developers, and stakeholders to identify AI opportunities and define technical strategies.
  • Guide the selection and use of machine learning algorithms, natural language processing (NLP), computer vision, or other Gen AI technologies as needed.
  • Ensure compliance with data security, privacy, and ethical guidelines in all Gen AI & ML implementations.
  • Stay current with advancements in AI tools (Gen AI & ML) and technologies and recommend their integration into the organization''s toolkit.
  • Provide technical leadership and mentorship to development teams working on AI projects.
  • Prepare comprehensive documentation and architecture diagrams for implemented solutions.

Qualifications:

  • Proven experience as an AI Architect or in a similar role, with a strong portfolio of successfully delivered AI/Gen-AI solutions.
  • Proficiency in AI tools and platforms such as TensorFlow, PyTorch, OpenAI, Hugging Face, Google AI, or similar.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Strong programming skills in Python, R, or Java, with experience in API development and integration.
  • Knowledge of tools like LangChain, LangGraph, LangSmith, Semantic Kernal
  • Knowledge of cloud platforms (Azure, AWS, Google Cloud Platform) and their AI/ML offerings.
  • Familiarity with enterprise application development and full-stack technologies.
  • Experience with chatbot development, automation frameworks, and AI-based decision systems.
  • Solid understanding of AI ethics, data governance, and security best practices.
  • Excellent problem-solving, analytical, and communication skills.
  • Bachelor''s or Master''s degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Qualifications:

  • Certifications in AI/ML from platforms like AWS, Azure, or Google Cloud.
  • Experience with low-code/no-code AI integration tools.
  • Understanding of DevOps practices for AI/ML model deployment.
  • Experience in customer-facing roles with the ability to translate business needs into technical solutions.